昭通国家级页岩气示范区CCUS技术集成与应用OA
Integration and application of CCUS technology in Zhaotong National Shale Gas Demonstration Zone
目的 碳捕集、利用与封存(carbon capture,utilization and storage,CCUS)技术集成与应用是提升昭通国家级页岩气示范区开发效率与环保效益的关键途径,厘清当前CCUS技术在页岩气开发中的工程应用现状,并探索未来技术突破方向.方法 基于文献研究及昭通示范区工程实践,系统分析CCUS技术中CO2 驱替模式、管网优化布局、智能监测与注入工具等核心环节的技术特点与集成方式.结果 孔隙度预测误差缩小至±1.5%,渗透率预测误差缩小至±0.03×10−3 μm2;CO2 驱替半径从 30 m扩展至 60 m,采收率提升 25%.实现泄漏定位精度±5 m.结论 现有CCUS技术集成方案对提升昭通示范区页岩气开发效益与CO2 封存水平有显著作用,为我国页岩气产业的绿色技术集成提供了实践探索.
Objective The integration and application of carbon dioxide capture,utilization and storage(CCUS)technology serve as a pivotal approach for enhancing development efficiency and environmental benefits in the Zhaotong National Shale Gas Demonstration Zone(hereinafter referred to as Zhaotong Demonstration Zone).Clarifying the current engineering application status of CCUS technology in shale gas development and exploring potential directions for future technological breakthroughs hold significant importance.Method Based on literature research and engineering practices in the Zhaotong Demonstration Zone,a systematic analysis was conducted on the technical characteristics and integration methods of core components within CCUS technology,including CO2 displacement modes,optimized pipeline network layouts,intelligent monitoring systems,and injection tools.Result The porosity prediction error was reduced to±1.5%,and the permeability prediction error was narrowed to±0.03×10−3 μm2.The CO2 displacement radius was expanded from 30 m to 60 m,resulting in 25%increase in recovery rate.The leakage localization accuracy of±5 m was achieved.Conclusion The existing CCUS technology integration scheme has significantly improved shale gas development efficiency and CO2 storage levels in the Zhaotong Demonstration Zone,providing practical exploration for the green technology integration of China's shale gas industry.
罗希;蒋琢;李文俊;殷川
中共云南省委党校社会和生态文明教研部云南省能源局中石化云南石油分公司中海石油(中国)有限公司天津分公司
昭通国家级页岩气示范区CCUS地质建模CO2捕集与压缩驱替与封存
Zhaotong Shale Gas Demonstration ZoneCCUSgeological modelingCO2 capture and compressiondisplacement and storage
《石油与天然气化工》 2026 (1)
50-55,6
云南省法规研究中心科研项目"金沙江干热河谷带生态环境自然恢复与人工修复协同机理"(2025YNDXXJ39)
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